Argentinean Child Poverty Among Girls Under 16
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Child Poverty Among Girls Under 16
Argentinean Child Poverty Among Girls Under 16
14.7%
POVERTY | GIRLS < 16
97.9/ 100
METRIC RATING
78th/ 347
METRIC RANK
Argentinean Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 293,059,037 people shows a slight negative correlation between the proportion of Argentineans and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of -0.086 and weighted average of 14.7%. On average, for every 1% (one percent) increase in Argentineans within a typical geography, there is a decrease of 0.29% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Argentineans and poverty level among girls under the age of 16 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Argentineans influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Argentineans simply ended up residing in those areas with higher or lower levels of poverty level among girls under the age of 16 due to other factors.
Demographics Similar to Argentineans by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Argentineans are Tlingit-Haida (14.7%, a difference of 0.010%), Immigrants from Russia (14.7%, a difference of 0.020%), Immigrants from Turkey (14.7%, a difference of 0.020%), Egyptian (14.7%, a difference of 0.020%), and Immigrants from Eastern Europe (14.6%, a difference of 0.16%).
| Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
| Slovenes | 98.1 /100 | #71 | Exceptional 14.6% |
| Immigrants from Netherlands | 98.1 /100 | #72 | Exceptional 14.6% |
| Immigrants from Austria | 98.0 /100 | #73 | Exceptional 14.6% |
| Taiwanese | 98.0 /100 | #74 | Exceptional 14.6% |
| Immigrants from Eastern Europe | 98.0 /100 | #75 | Exceptional 14.6% |
| Immigrants from Russia | 97.9 /100 | #76 | Exceptional 14.7% |
| Tlingit-Haida | 97.9 /100 | #77 | Exceptional 14.7% |
| Argentineans | 97.9 /100 | #78 | Exceptional 14.7% |
| Immigrants from Turkey | 97.9 /100 | #79 | Exceptional 14.7% |
| Egyptians | 97.9 /100 | #80 | Exceptional 14.7% |
| Ukrainians | 97.7 /100 | #81 | Exceptional 14.7% |
| Macedonians | 97.6 /100 | #82 | Exceptional 14.7% |
| Immigrants from Italy | 97.4 /100 | #83 | Exceptional 14.8% |
| Soviet Union | 97.3 /100 | #84 | Exceptional 14.8% |
| Swiss | 97.2 /100 | #85 | Exceptional 14.8% |
Argentinean Child Poverty Among Girls Under 16 Correlation Summary
| Measurement | Argentinean Data | Child Poverty Among Girls Under 16 Data |
| Minimum | 0.045% | 1.1% |
| Maximum | 12.6% | 56.7% |
| Range | 12.6% | 55.6% |
| Mean | 3.2% | 13.3% |
| Median | 2.5% | 11.9% |
| Interquartile 25% (IQ1) | 1.2% | 7.7% |
| Interquartile 75% (IQ3) | 4.5% | 15.4% |
| Interquartile Range (IQR) | 3.2% | 7.7% |
| Standard Deviation (Sample) | 2.6% | 9.0% |
| Standard Deviation (Population) | 2.6% | 8.9% |
Correlation Details
| Argentinean Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.045% | 138,775,814 | 18.7% |
[ 0.0% - 0.5% ] 0.13% | 64,320,346 | 15.9% |
[ 0.0% - 0.5% ] 0.22% | 40,146,349 | 16.6% |
[ 0.0% - 0.5% ] 0.31% | 16,159,111 | 14.2% |
[ 0.0% - 0.5% ] 0.40% | 9,752,848 | 13.7% |
[ 0.0% - 0.5% ] 0.50% | 6,022,897 | 11.9% |
[ 0.5% - 1.0% ] 0.58% | 4,035,825 | 13.8% |
[ 0.5% - 1.0% ] 0.67% | 2,848,965 | 11.6% |
[ 0.5% - 1.0% ] 0.75% | 2,435,748 | 13.4% |
[ 0.5% - 1.0% ] 0.85% | 1,278,385 | 13.3% |
[ 0.5% - 1.0% ] 0.93% | 1,003,231 | 10.3% |
[ 1.0% - 1.5% ] 1.03% | 923,572 | 13.8% |
[ 1.0% - 1.5% ] 1.11% | 642,172 | 8.3% |
[ 1.0% - 1.5% ] 1.20% | 935,723 | 14.2% |
[ 1.0% - 1.5% ] 1.29% | 525,754 | 11.0% |
[ 1.0% - 1.5% ] 1.40% | 851,418 | 17.5% |
[ 1.0% - 1.5% ] 1.48% | 224,048 | 10.7% |
[ 1.5% - 2.0% ] 1.56% | 182,835 | 17.3% |
[ 1.5% - 2.0% ] 1.64% | 159,748 | 17.3% |
[ 1.5% - 2.0% ] 1.76% | 236,237 | 13.6% |
[ 1.5% - 2.0% ] 1.81% | 124,313 | 10.4% |
[ 1.5% - 2.0% ] 1.93% | 122,637 | 12.0% |
[ 1.5% - 2.0% ] 2.00% | 201,321 | 11.0% |
[ 2.0% - 2.5% ] 2.12% | 61,844 | 16.9% |
[ 2.0% - 2.5% ] 2.19% | 86,805 | 11.8% |
[ 2.0% - 2.5% ] 2.29% | 42,113 | 24.2% |
[ 2.0% - 2.5% ] 2.39% | 21,154 | 10.0% |
[ 2.0% - 2.5% ] 2.46% | 95,675 | 12.4% |
[ 2.5% - 3.0% ] 2.54% | 30,219 | 5.5% |
[ 2.5% - 3.0% ] 2.65% | 72,204 | 12.7% |
[ 2.5% - 3.0% ] 2.75% | 45,295 | 13.4% |
[ 2.5% - 3.0% ] 2.84% | 47,793 | 15.8% |
[ 3.0% - 3.5% ] 3.09% | 93,110 | 16.6% |
[ 3.0% - 3.5% ] 3.15% | 16,682 | 9.5% |
[ 3.0% - 3.5% ] 3.37% | 71,289 | 7.3% |
[ 3.0% - 3.5% ] 3.46% | 73,622 | 11.3% |
[ 3.5% - 4.0% ] 3.62% | 56,475 | 23.5% |
[ 3.5% - 4.0% ] 3.72% | 3,443 | 29.8% |
[ 3.5% - 4.0% ] 3.80% | 6,651 | 4.2% |
[ 4.0% - 4.5% ] 4.15% | 289 | 45.0% |
[ 4.0% - 4.5% ] 4.26% | 22,202 | 6.7% |
[ 4.0% - 4.5% ] 4.31% | 12,474 | 7.3% |
[ 4.0% - 4.5% ] 4.46% | 13,255 | 15.0% |
[ 4.5% - 5.0% ] 4.51% | 6,225 | 5.3% |
[ 4.5% - 5.0% ] 4.63% | 23,734 | 6.1% |
[ 4.5% - 5.0% ] 4.68% | 32,881 | 9.8% |
[ 5.0% - 5.5% ] 5.24% | 98,850 | 6.8% |
[ 5.0% - 5.5% ] 5.33% | 7,792 | 7.7% |
[ 5.0% - 5.5% ] 5.43% | 11,638 | 7.5% |
[ 5.5% - 6.0% ] 5.63% | 1,686 | 1.1% |
[ 6.0% - 6.5% ] 6.29% | 19,785 | 2.3% |
[ 6.0% - 6.5% ] 6.37% | 1,381 | 7.8% |
[ 6.5% - 7.0% ] 6.54% | 35,967 | 7.5% |
[ 6.5% - 7.0% ] 6.85% | 3,589 | 56.7% |
[ 7.0% - 7.5% ] 7.15% | 4,407 | 13.2% |
[ 12.5% - 13.0% ] 12.57% | 14,639 | 7.7% |
[ 12.5% - 13.0% ] 12.63% | 14,572 | 7.7% |